2191 results about "Meal" patented technology

The invention discloses an electric heating cooker uniform temperature control method and system for gradient temperature difference regulation and control, and relates to the technical field of temperature control, the method comprises the following steps: dividing an internal heating area of a target electric heating cooker, arranging temperature sensors, and acquiring meal temperature data of N subareas in real time through a subarea temperature sensor array; constructing a gradient temperature difference model based on meal heat conduction information and food material characteristic information, and performing deviation calculation on the meal temperature data of the N sub-regions based on the gradient temperature difference model to obtain temperature deviation data of the N sub-regions; and a PID controller is adopted to perform heating power analysis on the temperature deviation data of the N sub-regions, and the heating power adjustment amount of the N sub-regions is determined to control the target electric heating cooker to perform uniform-temperature heating control. The technical effects of realizing uniform temperature control of the electric heating cooker, effectively solving the problem of local overheating or half-cooking caused by a traditional heating mode, ensuring uniform heating of meals and improving the heating quality are achieved.

The invention discloses a dietary pattern evaluation method and system based on digital intelligent analysis, and relates to the technical field of dietary pattern evaluation.The method comprises the steps that a mobile terminal is used for synchronously collecting multi-modal data, and the multi-modal data are preprocessed; food pictures are retrieved based on keywords to form a data set, an image recognition model is constructed, the volume and area of food materials are calculated in combination with a 3D reconstruction technology, a food material density database is matched, and automatic estimation of the quality of the food materials is achieved; building a voice interaction model fusing characters and regional voice features, and recognizing food material types and food material quality by using voice data; a dynamic allocation weight is calculated through multi-modal confidence, a graph attention mechanism is utilized to detect and correct data conflicts, and a space-time constraint rule base is combined to align dispersed intake records; and constructing a data visualization chart library. According to the method, the rise of dietary structure analysis from extensive statistics to refined intelligent evaluation is realized, and the problem of error accumulation caused by dependence on a single data source in a traditional method is effectively solved.

The invention relates to the technical field of organic fertilizers and planting of watermelons and muskmelons, and provides a special fertilizer for milk irrigated watermelons and muskmelons and a double-stubble planting method for sweetness enhancement of milk irrigated watermelons and muskmelons. The special fertilizer for the milk irrigated watermelons and muskmelons comprises black goat manure, sophora alopecuroide, sesame seed meal, bran, organic fresh milk, brown sugar and zymophyte. The black goat manure is pulverized into powder by a pulverizer, the sophora alopecuroide is pulverizedinto 1 cm to 2 cm, and the ratio of the black goat manure, the sophora alopecuroide, the sesame seed meal, the brans, the organic fresh milk, the brown sugar and the zymophyte is 2700-3200: 80: 50: 150: 5: 1. The double-stubble planting method for sweetness enhancement of the milk irrigated watermelons and muskmelons comprises the following steps: selection of a nursery seedling plate and soil, cleaning and germination accelerating of seeds, soil preparation, transplanting, irrigation, topdressing, shaping and forking of watermelon and muskmelon vines and fruit bearing of the watermelons and the muskmelons. The problems that in an existing watermelon and muskmelon planting process, soil nutrients are damaged due to the fact that chemical fertilizers are used for a long time, and the sweetness of melons is reduced are solved.

The invention discloses a production method of distiller's grain fermentation liquid fertilizer specially applied to roxburgh rose. The distiller's grain fermentation liquid fertilizer is prepared bythe step of evenly mixing 50 to 80 parts of distiller's grain fermentation extracting solution, 0.5 to 1 part of microelement, 5 to 10 parts of seaweed meal, 5 to 10 parts of natural active organism,2 to 5 parts of potassium bicarbonate, 2 to 5 parts of natural active organism and 2 to 5 parts of natural surface active agent. A preparation method of the distiller's grain fermentation extracting solution comprises the steps: evenly stirring 50 to 80 parts of distiller's grain, 50 to 150 parts of rice washing water, 1 to 2 parts of EM microflora fermentation liquid and 0.5 to 1 part of sugar, performing composting fermentation at the room temperature to obtain a distiller's grain fermentation material, stirring and extracting through a sodium carbonate water solution, filtering and performing evaporation and condensation on obtained filtrate until the density is 1.1 to 1.2 to obtain distiller's grain fermentation extracting solution. The distiller's grain fermentation liquid fertilizerdisclosed by the invention has a good use effect, meanwhile can effectively prevent pest and disease damage to the roxburgh rose and is high-efficiency environment-friendly liquid fertilizer.

The invention provides an aviation catering quality monitoring method based on artificial intelligence, and the method comprises the steps: obtaining flight delay information, passenger cabin configuration data and a real-time production line task sequence, evaluating the influence of delay on the task sequence and meal heat preservation time in combination with a preset meal standard, and generating a task recombination demand and a heat preservation time extension prediction value; carrying out real-time image acquisition on the meal semi-finished product required by task recombination, carrying out edge detection and texture analysis to obtain a raw material appearance quality index, and identifying a raw material attribute change trend based on the obtained raw material appearance quality index; and carrying out clustering analysis on the attribute change trend of the raw materials, identifying key characteristic parameters influencing the meal quality, and determining the quality risk level of the current production batch by combining the standardization requirement of the passenger cabin meal and the heat preservation time prolonging prediction value, so as to realize accurate control on the quality of the aviation meal.

The invention relates to the field of plastic meal box processing, and particularly discloses a plastic meal box positive pressure thermal forming process which comprises the following steps: S1, conveying a plastic sheet to a heating station, and pressing and sealing the periphery of the plastic sheet through a clamp to form an airtight area required by forming; s2, the plastic sheets are subjected to partitioned precise heating and state monitoring, specifically, precise control over the heating process of the plastic sheets is achieved through the following sub-steps; by constructing a partitioned precise heating and closed-loop state monitoring system, a traditional heating process depending on artificial experience is converted into a data-driven intelligent process. A target temperature distribution curve is generated based on a three-dimensional model and material characteristics, a real-time temperature monitoring and predictive control algorithm is combined, a heating strategy is dynamically adjusted, it is ensured that a sheet temperature field rapidly and stably reaches a uniform melting or high-elastic state, and the consistency of heating uniformity and forming quality is remarkably improved.

The invention relates to the technical field of group meal food traceability, and particularly provides a group meal food whole-course traceability method and system, and the method comprises the steps: carrying out the traversing of a pre-constructed traceability map according to a food traceability request when the food traceability request is received; based on a first preset evaluation dimension, performing confidence evaluation on each candidate traceability chain path to obtain a plurality of first confidence evaluation results, and screening out a target traceability chain path from all the candidate traceability chain paths according to all the first confidence evaluation results; analyzing whether the target traceability chain path is broken, if yes, repairing the target traceability chain path according to the auxiliary information set and outputting the repaired target traceability chain path, and if not, directly outputting the target traceability chain path; according to the method, the problem that the generated tracing chain is incomplete or inaccurate due to data missing or cross-link data association errors existing in the acquired tracing data can be effectively solved.

The invention provides a personalized precise nutrition recipe recommendation method and system based on a genetic algorithm, and the method comprises the steps: inputting various personal information, including gender, age, weight, height, and nutrition risk information (lack of nutrients, risk genes or risk SNP ID), all the personal information being dynamically linked together, and quantitative nutrient demands are generated for specific individuals according to the resident dietary nutrient reference intake and a pre-constructed nutrient-gene interaction database. A food nutrient composition database is pre-constructed on the system and comprises various foods from four different countries and nutritional ingredients of the foods. And then, according to individual quantitative nutrient requirements, selecting and combining food by writing a genetic algorithm, iteratively perfecting the combination of food types and food amounts, and finally outputting an accurate nutrition recipe meeting individual nutrition requirements.

A method of assembling a meal kit tray from a single blank including a bottom panel, wherein the bottom panel is configured to support a bag containing refrigerated items and a cold pack, wherein the single blank further comprises a bottom panel; a side panel extending outwardly from at least a portion of the bottom panel, the side panel joined to the bottom panel along a first fold line defining a joint, wherein the first fold line is interrupted by at least one perforation line segment defining a standoff; and a wing extending outwardly from the side panel, the wing joined to the side panel along a second fold line defining a joint, the wing defining a free end; wherein the method comprises the steps of rotating the side panel upwardly about the first fold line to cause the standoff to separate from the side panel; and rotating the wing downwardly about the second fold line.

The invention relates to an AI personalized nutrition evaluation and guidance method based on individual continuous diet data. The AI personalized nutrition evaluation and guidance method comprises the following steps: (1) calculating individual single meal food and nutrient intake; individual health indexes are collected, the individual daily energy demand amount is calculated, and the daily food and nutrient demand amount is determined; (2) carrying out instant personalized nutrition evaluation on food and nutrients ingested by an individual in a single meal according to a domestic public recommendation standard; (3) on the basis of individual nutrition and health data continuously recorded in the longitudinal direction of time, establishing a personalized nutrition intake-health model taking an individual as a unit, and carrying out personalized nutrition evaluation and health risk prompting; and (4) simulating the idea of nutrition guidance of professionals to create an AI nutrition guidance algorithm, and generating AI guidance. By adopting the AI personalized nutrition evaluation and guidance method based on the individual continuous diet data, a sustainable AI-assisted diet self-management solution suitable for daily life scenes is effectively provided.

The embodiment of the invention discloses a feeding method and device capable of accurately regulating and controlling the feed intake of sows. The method comprises the following steps: identifying an individual identity through an electronic ear tag, and collecting backfat thickness, body condition score and weight data by using an inspection robot; dynamically calling a standard feeding curve based on the fetus number and the body condition score, and finely adjusting the target feed intake in combination with the body weight change trend; a quantitative or interactive feeding mode is adopted in the gestation period, feeding is carried out with different meals of wet mixed feed in the lactation period, and the feed-water ratio is dynamically adjusted; meanwhile, a data closed loop is constructed, a feeding strategy is optimized through big data analysis, and abnormal individuals are visualized. According to the scheme, precise self-adaptive regulation and control of the feeding behavior of the sow in the whole breeding cycle are achieved, and the feed efficiency and the breeding performance are remarkably improved.

The invention provides an intelligent cooking supervision optimization system based on digital twinning and a construction method, and solves the problems of insufficient whole-process supervision of a traditional kitchen, lagging of real-time early warning and difficulty in operation standardization. The system constructs a virtual model through high-precision modeling (geometry, physics, behaviors and rules); the whole stir-frying link is uniformly coded by using an industrial internet identification analysis technology, so that data tracking and tracing are realized; a real-time data acquisition, transmission and analysis mechanism is established, and seamless virtual-real mapping between physical equipment and a digital platform is realized; and a visual control interface is constructed to support ordering and remote control. A scheduling rehearsal mechanism based on an improved ant colony algorithm is innovatively proposed, multi-task multi-pot dish distribution scheduling is optimized, trial and error cost is reduced, and meal delivery efficiency and system stability are improved. The system provides support for digital and intelligent transformation of the catering industry, and improves food safety supervision and kitchen operation efficiency.

The invention belongs to the technical field of preparation of peptides, and relates to a hippocampus polypeptide and application thereof. The amino acid sequence of the hippocampus polypeptide is shown as SEQ ID NO.1 in a sequence table. The hippocampus polypeptide provided by the invention has excellent anti-hypoxia activity, and by virtue of the characteristic, the hippocampus polypeptide can be used as an active component to be added into food, beverage or dietary supplement to prepare functional food or health care products for daily use of specific people so as to enhance tolerance to an anoxic environment.

Disclosed herein are apparatuses and methods that can provide a delayed bolus calculator for use in closed loop diabetes therapy that can account for additional factors not taken into account in regular meal bolus calculations when a user wants to deliver a meal bolus a period of time after a meal was consumed. A delayed bolus calculator can enable the user to enter a period of time since the meal was consumed in addition to the number of carbohydrates consumed in a meal. This enables the system to account for the amount of increased insulin from the closed loop algorithm in response to the meal and / or the time since the meal to ensure that the risk of hypoglycemia is mitigated while still reducing hyperglycemia.

The embodiment of the invention provides a full-automatic mouth following meal assisting method and system based on machine vision, and belongs to the technical field of man-machine interaction of feeding assisting mechanical arms. The meal assisting method comprises the steps that a mechanical arm base coordinate system is established according to the position relation between a mechanical arm and a depth camera; obtaining a face two-dimensional image; obtaining mouth postures of key points of the face two-dimensional image based on an improved direct linear transformation algorithm; judging whether a feeding condition is met or not according to the mouth posture; when it is judged that the feeding condition is met, the mechanical arm obtains a feeding track according to teaching learning so as to carry out feeding operation; whether the mechanical arm completes the feeding operation or not is judged; under the condition that it is judged that the mechanical arm completes the food taking operation, the mouth posture is updated, and a food delivery track is obtained according to the mouth posture; and the mechanical arm executes meal delivery operation according to the meal delivery track. According to the invention, the direct linear transformation algorithm is improved to obtain the mouth posture, so that the detection precision and robustness are improved, and the feeding track is generated according to the real-time mouth posture, so that the feeding precision is improved.

The utility model discloses a meal serving unit of a continuous meal delivery vending machine, which comprises a rack, a meal storage device arranged on the rack, a meal distribution device arranged below the meal storage device, and a rice shaping device arranged at the tail end of a conveying belt and used for shaping rice, the steam components are arranged on the two sides of the rice distributing device so that rice in the rice distributing device can be in a constant-temperature state, the steam components are communicated with the constant-temperature heating water tank, and the rice shaping device and the rice distributing device are matched with each other in space; the rice shaping device comprises a rice cup assembly arranged below the tail end of the rice distributing device and provided with a rice containing space, a rice cutting and scraping plate assembly arranged above the tail end of the rice distributing device and a rice shaping assembly arranged above the rice cup assembly, the lower end of the rice shaping assembly extends into the rice cup assembly, and the rice shaping assembly shapes rice. Through cooperative work of all the assemblies of the whole system, automatic distribution, heat preservation and shaping of rice are achieved, and the automation degree and working efficiency of the vending machine and the attractiveness of the rice are greatly improved. Meanwhile, through constant-temperature control of the steam component, the palatable temperature and freshness of the rice are ensured, and the dining experience of a user is improved.

The invention relates to the technical field of nutritious food configuration, and discloses a system and a method for configuring personalized nutritious food, and the method for configuring personalized nutritious food comprises the following steps: collecting spectral characteristic data and chemical component data of a food material sample by adopting a hyperspectral imaging and mass spectrum combined technology, and obtaining holographic chemical fingerprint information; processing the collected spectral data by using a multi-scale feature extraction algorithm, extracting multi-level feature information of the food materials, and carrying out standardization and dimension reduction processing on the feature data; according to the method, high-precision prediction of the nutrient content of the food material is realized through combination of hyperspectral imaging and mass spectrometry technologies and a deep learning model, so that the nutrient content prediction accuracy and the configuration scheme accuracy are improved, the nutrient balance achievement rate is also improved, and meanwhile, the limitation of a static database is broken through; real-time nutritional ingredient analysis of any food material is achieved, the method can adapt to individual differences and freshness changes of the food materials, and accurate configuration based on actual food material characteristics is provided.

The invention discloses a multi-device collaborative integrated kitchen management system, and relates to the technical field of intelligent kitchen control, and the system comprises the steps: analyzing an order or menu request into a task graph, building dependence, and adding a capability demand, resource mutual exclusion, a quality window, a risk level and migration window, and a check point strategy label for a task node; the edge arrangement gateway collects the equipment state, the resource occupation and the network health degree, and reschedules and generates a main plan and a shadow plan under the constraint of a rolling window and a freezing window; a main plan is converted into an intention type transaction to be issued, idempotent processing is carried out according to a transaction identifier, feeding, discharging and valve opening are carried out, token reservation-consumption is carried out, and account checking and verification are carried out; generating a process check point according to a check point strategy, and executing thermal migration, compensation or security degradation and account checking synchronization according to a migration window and a shadow plan when the process check point is abnormal; repeated actions and state drifting caused by re-delivery are reduced, and the stability of continuous meal delivery is guaranteed.

The invention relates to a body fat management system, which comprises a nutrition scale, an APP and a body fat scale, the nutrition scale can calculate total calorie intake according to diet intake data and feed back the total calorie intake to the APP, the APP can collect user information and feed back the user information to the body fat scale, and the body fat scale can collect human body components and feed back the human body components to the APP in combination with the user information fed back by the APP. The APP can dynamically update a calorie intake target of each day according to the human body composition feedback information of the body fat scale and the calorie total intake feedback information of the nutrition scale and give a target intake early warning of each meal, and dynamic closed-loop management between diet intake and body metabolism feedback is realized through multi-source data acquisition, interaction and analysis, so that the management efficiency is improved. The invention further relates to a body fat management method applying the body fat management system.

The invention discloses high-barrier waterproof and oil-proof meal package paper and a preparation method thereof, and relates to the technical field of food packaging materials. The invention discloses a preparation method of high-barrier waterproof and oil-proof meal package paper, which comprises the following steps: coating raw paper with waterproof and oil-proof glue to obtain the high-barrier waterproof and oil-proof meal package paper, the waterproof and oil-proof glue comprises the following raw materials in percentage by weight: 1-2% of modified chitosan, 4-5% of carboxymethyl cellulose, 0.3-0.5% of nano cellulose, 0.15-0.25% of modified nano mesoporous silica, 0.3-0.42% of a bio-based cross-linking agent and the balance of a solvent, and the sum of the weight percentages of the raw materials is 100%. The prepared meal package paper is good in waterproof and oil-proof effects, and the folding strength of the coating is high.

The embodiment of the invention discloses a healthy diet planning method and system based on multi-modal fusion, and the method comprises the steps: obtaining the multi-modal information of food, carrying out the feature extraction and fusion of the multi-modal information based on a multi-modal fusion technology, and obtaining a food recognition result; constructing a user portrait of a target user based on user information of the target user, wherein the user information at least comprises diet requirements and body health condition information of the target user; in combination with the food recognition result and the user portrait, generating a diet planning scheme suitable for the target user by utilizing large model reasoning; and optimizing the dietary planning scheme according to the dynamically updated nutrition knowledge base, and outputting the optimized dietary planning scheme to the target user. According to the scheme, special nutritional requirements and diet restrictions of different users can be considered, accurate recipe recommendation, food material matching suggestions, diet taboo and the like are provided, and the users are helped to realize reasonable diet and health management.

The invention discloses a college canteen food waste monitoring and incentive system and method based on dynamic feedback, relates to the technical field of intelligent catering management, and realizes accurate recognition and behavior guidance of food waste behaviors through datamation monitoring and dynamic feedback of the whole catering process of a college canteen. The system automatically collects the types and initial weights of dishes in a meal ordering link, intelligently recognizes the types, areas and humidity states of dinner plate residues in a recycling link, and further achieves the precise calculation of the individual waste amount. Through data matching and behavior clustering analysis of a server side, individualized waste archives and group comparison statistics can be generated, and closed-loop management from waste discovery to feedback excitation is realized.

The invention discloses a personalized diet recommendation method for enteritis patients, a medium and equipment. The method comprises the following steps: continuously collecting diet image data, physiological state time sequence data and subjective symptom feedback data; performing food material component deconstruction and cooking mode identification on the diet image through a convolutional neural network, and generating a structured diet vector; analyzing physiological state time sequence data by using a hidden Markov model, and constructing an individualized physiological rhythm map; establishing a symptom triggering condition probability matrix based on a multi-modal association mining algorithm; generating an exploratory diet scheme according to the real-time physiological state of the user and the conditional probability matrix; dynamically updating the conditional probability matrix through an online reinforcement learning mechanism; and finally, periodically outputting a personalized diet taboo list and a safety exploration list. According to the method, through the dynamic correlation analysis of fusing the time sequence physiological features and the dietary components, accurate matching of diet recommendation and individual intestinal tract state fluctuation is realized, and the individuation and adaptability of diet intervention are effectively improved.

The invention relates to the technical field of artificial intelligence application, in particular to a personalized diet suggestion method, system and equipment based on a large language model.The method comprises the steps that meal information input by a user is received, and the meal information comprises food pictures or text descriptions; processing the meal information, and identifying food types and quantity; calculating the nutrient content of the current meal in combination with a nutrient database according to the identified food type and quantity; generating a personalized nutritional demand based on the user basic information and the health condition, and determining a demand gap between the nutritional content of the current meal and the personalized nutritional demand; inputting the nutrient content, the demand difference, the user diet preference data and the medicine and food homology data of the current meal into a large language model, and generating the nutrition evaluation of the current meal and the personalized diet suggestion of the next meal; and feeding back the nutrition evaluation and the personalized diet suggestion to a user through a visual interface. And scientific and reasonable diet of the user can be realized.

The invention relates to the technical field of artificial intelligence, in particular to a diet recommendation management method and system based on the vital sign state of a user, and the method comprises the steps: building a food nutrition information base in advance; generating sign monitoring data of a target user, acquiring vital sign characteristics of the user according to the monitoring data, and calculating the reference intake of personal dietary nutrients at the same time; the user carries out daily healthy diet card punching, diet analysis is carried out, and daily diet recommendation is carried out according to the vital signs of the user and the nutrient elements needing to be ingested every day; acquiring vital sign feedback information of the target user, and updating the daily recommended diet scheme according to the feedback information to obtain an updated daily diet management scheme; and performing health management and vital sign monitoring on the target user according to the updated daily diet management scheme. According to the invention, diet control under the condition of abnormal vital signs of the user can be improved, and life quality is improved.

The utility model discloses a mould for hemming a meal box, which comprises a forming mould, an oil immersion mould, a first hemming mould and a second hemming mould, the forming mould is used for carrying out punch forming on the box shape of the meal box, and an oil brushing component is arranged on the oil immersion mould and used for brushing oil on the inner side of the upper edge of the meal box. The first hemming die and the second hemming die are used for carrying out two-section hemming on the upper edge part of the meal box brushed with oil in sequence; according to the hemming lunch box mold disclosed by the utility model, a piece of pre-manufactured paper can be processed and formed into a finished lunch box with a hemming edge through sequential processing among the four groups of matched molds, and in the process, based on the arrangement of the oil immersion mold, the hemming can be smoother, the defective rate is lower, and the forming is easier; therefore, the hemming die is simple in structure and convenient to operate.

The utility model relates to the technical field of vending machines, and discloses a microwave heating module of a vending machine, which comprises a rack, an electric control module is arranged in one side of the rack, a meal plate is fixedly mounted in the middle of one side of the rack, a meal inlet module is arranged on one side, close to the electric control module, of the rack, a meal outlet module is arranged at one end of the rack, and a microwave heating module is arranged at the other end of the rack. A heating element is arranged on the inner side of the bottom of one end of the rack, a heating cover module is arranged on the inner side of the top of one end of the rack, and an electric control meal outlet module is arranged on the inner side of one end of the rack. According to the utility model, the electric control module, the meal outlet module, the meal inlet module, the heating cover module and the electric control meal outlet module are integrated on the rack, so that the functions are complete, the integration level is high, the size and the weight of the equipment are obviously reduced, the transportation and installation processes of the equipment are greatly facilitated, and the logistics cost is reduced; and secondly, the box body is provided with a large round corner, wiping dead corners of a right-angle opening are avoided, cleaning is convenient, and bacterium breeding of the furnace body is avoided.

The invention relates to the technical field of medical health, and discloses a pregnancy nutrition management method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining pregnancy portrait data of a target user; generating an individualized nutrition intake target based on the pregnancy portrait data; generating a matched structured diet scheme according to the nutrition intake target and the diet taboo information; receiving an actual diet image uploaded by the user, and performing nutrition intake analysis on the actual diet image to obtain actual nutrition intake data; and dynamically adjusting the structured diet scheme according to the actual nutrition intake data. According to the method, personalized evaluation, intelligent catering and dynamic optimization of pregnancy nutrition management are realized, the scientificity, compliance and continuity of intervention are improved, pregnancy complications can be prevented, and the health of mothers and infants is promoted.

An automated food recognition platform comprises a memory, processor, and various submodules, utilizing artificial intelligence to analyze digital media (images, photos, audiovisual) for food identification and attributes. It includes an edible food database and recipe submodule, generating personalized recipes considering dietary preferences. The automated food recognition platform also features allergy and drug interaction submodules, informing users of relevant information. A marketplace submodule tracks inventory levels, enhancing recipe recommendations. Leftover identification and meal planning submodules offer creative cooking solutions. An interactive submodule fosters a chef-user community, incorporating user feedback and social media data to refine recipe recommendations. Chefs receive compensation based on a chef rating, determined by user interactions. The platform promotes chef recipes through paid advertising services within the interactive submodule.

The invention discloses a meal-assisting management system and a meal-assisting machine for old-age service, and relates to the technical field of dining management for old-age service, the meal-assisting management system and the meal-assisting machine for old-age service are characterized in that physiological parameters of old people are acquired in real time through a health data acquisition module, and a taboo food material list is generated according to the physiological parameters and the taboo food material list through a nutrition matching engine; the meal dispatching server generates a meal preparation instruction based on the meal preparation instruction, and personalized meal services conforming to the health conditions of the old people can be provided for the old people; a data desensitization unit of the health data acquisition module encrypts identity fields in physiological parameters, and establishes secure connection with a medical insurance database based on an SM2 national cryptographic algorithm bidirectional authentication protocol to ensure the security and privacy of data of the old; a space-time prediction unit of the meal dispatching server adopts a convolutional neural network to process historical meal records, and the meal delivery amount in different periods can be accurately predicted; and the path optimization unit calculates an optimal distribution path based on a genetic algorithm, so that the distribution efficiency is improved, and the distribution cost is reduced.